Welcome to the Github repo for the R workshop in KI. This repo contains all necessary material and information for the course.

The course has its own R package, workshop, which aims to make example data and script easily accessible. To install the package, run the following code in R Studio. For more details, please check the 'rpackage' folder.

1. install.packages("remotes")
2. remotes::install_github("Bolin-Wu/workshopr", subdir = "rpackage", force = TRUE)

This workshop focuses on the beginner level.

• The slides are here
• R code is here.

• Register link is here.
• The flyer is here

This workshop is an extension of workshop in 2022, which focuses on the intermediate level. The topic consists of

• Loop function
• Tidyverse toolkits
• R markdown

Ashley Tate leads this session.

Example code

• View online here
• Get script directly in R workshopr::get_code_2023(session = "loop")

Bolin Wu introduces useful data manipulation functions in daily work tasks:

• %>% syntax
• join data frames (join function)
• transform data shape (pivot_longer)
• filter variables based on name pattern (select)
• extract the label from DTA and SPSS in R (filter)
• check missing values (summarise & across)
• mutate data based on column types (mutate & across)
• bin variables by percentiles (case_when)
• assign function

Slide

• Downloadable PDF here
• View online html slide here

Example code

• View online here
• Get script directly in R workshopr::get_code_2023(session = "tidyverse").

Bolin Wu explains the basic uses of R markdown and its integration into daily work:

• markdown
• yaml heading
• code chunk options
• live code demo

The slide is here.

To retrieve R markdown templates in R, one can run the following commands in RStudio:

workshopr::get_rmd_2023(name = "pdf_example",output_file = "pdf")
workshopr::get_rmd_2023(name = "word_example",output_file = "word")
workshopr::get_rmd_2023(name = "html_example",output_file = "html")

Get the final exercise here

• 'stringr' and regex (in r) cheatsheet.
• data transformation with 'dplyr' cheatsheet.
• R markdown cheatsheet.